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Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus
Vitamin D (VD) deficiency during pregnancy has been repeatedly linked to an increased gestational diabetes mellitus (GDM) risk. We sought to determine the influences of genetic variants in vitamin D signaling pathways on the risk of GDM. In this study, we genotyped 15 single nucleotide polymorphisms...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356519/ https://www.ncbi.nlm.nih.gov/pubmed/27636996 http://dx.doi.org/10.18632/oncotarget.11984 |
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author | Shi, Aiwu Wen, Juan Liu, Guangquan Liu, Heng Fu, Ziyi Zhou, Jing Zhu, Yao Liu, Yaoqiu Guo, Xirong Xu, Jianguo |
author_facet | Shi, Aiwu Wen, Juan Liu, Guangquan Liu, Heng Fu, Ziyi Zhou, Jing Zhu, Yao Liu, Yaoqiu Guo, Xirong Xu, Jianguo |
author_sort | Shi, Aiwu |
collection | PubMed |
description | Vitamin D (VD) deficiency during pregnancy has been repeatedly linked to an increased gestational diabetes mellitus (GDM) risk. We sought to determine the influences of genetic variants in vitamin D signaling pathways on the risk of GDM. In this study, we genotyped 15 single nucleotide polymorphisms (SNPs) within 8 representative genes (CYP27A1, CYP27B1, CYP24A1, VDR, RXRA, RXRB, RXRG and GC) of the vitamin D signaling pathways in a case-control study with 964 GDM cases and 1,021 controls using the Sequenom MassARRAY iPLEX platform. Logistic regression analyses in additive model showed that GC rs16847024 C>T, RXRG rs17429130 G>C and RXRA rs4917356 T>C were significantly associated with the increased risk of GDM (adjusted OR = 1.31, 95% CI = 1.10-1.58 for rs16847024; adjusted OR = 1.28, 95% CI = 1.04-1.57 for rs17429130; adjusted OR = 1.28, 95% CI = 1.06-1.54 for rs4917356). And GDM risk significantly increased with the increasing number of variant alleles of the three SNPs in a dose-dependent manner (P for trend < 0.001). Moreover, the combined effect of the three SNPs on GDM occurrence was more prominent in older women (age > 30). Further interactive analyses also detected a significantly multiplicative interaction between the combined variant alleles and age on GDM risk (P = 0.035). Together, these findings indicate that GC rs16847024, RXRG rs17429130 and RXRA rs4917356 were candidate susceptibility markers for GDM in Chinese females. Further validation studies with different ethnic background and biological function analyses were needed. |
format | Online Article Text |
id | pubmed-5356519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53565192017-03-24 Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus Shi, Aiwu Wen, Juan Liu, Guangquan Liu, Heng Fu, Ziyi Zhou, Jing Zhu, Yao Liu, Yaoqiu Guo, Xirong Xu, Jianguo Oncotarget Research Paper: Pathology Vitamin D (VD) deficiency during pregnancy has been repeatedly linked to an increased gestational diabetes mellitus (GDM) risk. We sought to determine the influences of genetic variants in vitamin D signaling pathways on the risk of GDM. In this study, we genotyped 15 single nucleotide polymorphisms (SNPs) within 8 representative genes (CYP27A1, CYP27B1, CYP24A1, VDR, RXRA, RXRB, RXRG and GC) of the vitamin D signaling pathways in a case-control study with 964 GDM cases and 1,021 controls using the Sequenom MassARRAY iPLEX platform. Logistic regression analyses in additive model showed that GC rs16847024 C>T, RXRG rs17429130 G>C and RXRA rs4917356 T>C were significantly associated with the increased risk of GDM (adjusted OR = 1.31, 95% CI = 1.10-1.58 for rs16847024; adjusted OR = 1.28, 95% CI = 1.04-1.57 for rs17429130; adjusted OR = 1.28, 95% CI = 1.06-1.54 for rs4917356). And GDM risk significantly increased with the increasing number of variant alleles of the three SNPs in a dose-dependent manner (P for trend < 0.001). Moreover, the combined effect of the three SNPs on GDM occurrence was more prominent in older women (age > 30). Further interactive analyses also detected a significantly multiplicative interaction between the combined variant alleles and age on GDM risk (P = 0.035). Together, these findings indicate that GC rs16847024, RXRG rs17429130 and RXRA rs4917356 were candidate susceptibility markers for GDM in Chinese females. Further validation studies with different ethnic background and biological function analyses were needed. Impact Journals LLC 2016-09-12 /pmc/articles/PMC5356519/ /pubmed/27636996 http://dx.doi.org/10.18632/oncotarget.11984 Text en Copyright: © 2016 Shi et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper: Pathology Shi, Aiwu Wen, Juan Liu, Guangquan Liu, Heng Fu, Ziyi Zhou, Jing Zhu, Yao Liu, Yaoqiu Guo, Xirong Xu, Jianguo Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus |
title | Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus |
title_full | Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus |
title_fullStr | Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus |
title_full_unstemmed | Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus |
title_short | Genetic variants in vitamin D signaling pathways and risk of gestational diabetes mellitus |
title_sort | genetic variants in vitamin d signaling pathways and risk of gestational diabetes mellitus |
topic | Research Paper: Pathology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5356519/ https://www.ncbi.nlm.nih.gov/pubmed/27636996 http://dx.doi.org/10.18632/oncotarget.11984 |
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